In the attempt to explain [1]}'s results especially on rapid-design with block labels, we carry out an additional experiment by intentionally adding a bias to our EEG data and computing classification accuracy of our implementation of 1D-CNN method [1]} and [3]} (the two deep methods tested in [1]}).
We do this analysis on both the block-design and rapid-design data with block-level labels and using per-subject analysis, as done in [1]}, and pooled data.
